EvolutionIQ logo

Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)

EvolutionIQ

Chicago, ILJob$180–225K/yrPosted todayStill listed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$180–225K/yr
Location
Chicago, IL
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Machine Learning Engineer will own models and evaluations end to end for AI-native products supporting auto casualty claims. The role builds models on real claims data, evaluates AI against expert decisions, and measures customer impact to inform product decisions. Most products use large language models, so the engineer combines statistical modeling and LLM evaluation with production code. The team is a small, growing engineering group.

Skills & qualifications

RequiredNice to have

Skills

Statistical ModelingMachine LearningLLM EvaluationRetrievalEmbeddingsEvaluation DesignGold Dataset DesignExperiment DesignROI AnalysisPythonSQLProduction ModelingRAGVector SearchAI-Assisted ToolsCausal InferenceSurvival AnalysisCalibration MethodsModel Fine-Tuning

Qualifications

5+ Years Machine Learning ExperienceQuantitative FoundationDegree, Research, or Equivalent Experience

Benefits

401(k) Match
Paid Time Off
Medical Insurance
Tuition Assistance

Full job description

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.

The Role

As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on:

Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.

Your impact: You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both.

Salary range is: $180,000 - 225,000 This position is bonus eligible.

Key Responsibilities:

  • Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data

  • Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes

  • Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers

What success looks like:

  • In your first month, you've run your first evaluation on real data and shared what you found.

  • By six months, you've shipped a model or evaluation to production, and a product decision was made on evidence you produced.

Requirements:

  • Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles

  • A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience

  • Strong Python and SQL, and a track record of taking models to production and measuring how they perform

  • Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs

  • Real experience working faster with AI-assisted tools, with examples you can walk us through

Nice to have

  • Causal inference, survival analysis, or calibration methods applied to business decisions

  • Experience fine-tuning models for domain-specific tasks

Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.

About CCC's Commitment to Employees:

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.

CCC offers competitive compensation and benefits to support you and your families, including:

• 401K Match

• Paid time off

• Annual Incentive Plan Performance Bonus

• Comprehensive health insurance

• Adoption Assistance

• Tuition Reimbursement

• Wellness Programs

• Stock Purchase Plan options

• Employee Resource Groups

For more information about our benefits, please check out our careers site.

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

How this job compares

Set against the 6,113 open Machine Learning Engineer jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$180–225K/yr
  • Illinois median$126–212K/yr91 salary ranges
  • US median$149–245K/yr4,871 salary ranges

This range's midpoint, $203K, is 16% above the Illinois median midpoint ($175K) — in the middle half of Machine Learning Engineer salary ranges in Illinois.

Openings
Olive Jobs lists 110 open Machine Learning Engineer jobs in Illinois and 6,113 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
This posting asks for at least 5 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,891 postings).
Education
2,297 of the 6,113 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.